Xiawu Zheng

Connecting the Dots: Training-Free Visual Grounding via Agentic Reasoning AAAI 2026 QuoTA: Query-oriented Token Assignment via CoT Query Decouple for Long Video Comprehension AAAI 2026 Wavelet-based Frame Selection by Detecting Semantic Boundary for Long Video Understanding CVPR 2026 Aligning Instance Brownian Bridge with Texts for Open-Vocabulary Video Instance Segmentation AAAI 2025 AllGCD: Leveraging All Unlabeled Data for Generalized Category Discovery ICCV 2025 Automated Fine-Grained Mixture-of-Experts Quantization ACL 2025 BAME: Block-Aware Mask Evolution for Efficient N:M Sparse Training ICML 2025 Benchmarking Abstract and Reasoning Abilities Through A Theoretical Perspective ICML 2025 Data Interpreter: An LLM Agent for Data Science ACL 2025 Determining Layer-wise Sparsity for Large Language Models Through a Theoretical Perspective ICML 2025 Distilling Spatially-Heterogeneous Distortion Perception for Blind Image Quality Assessment CVPR 2025 Dynamic Clustering Convolutional Neural Network AAAI 2025 Dynamic Low-Rank Sparse Adaptation for Large Language Models ICLR 2025 Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models ICLR 2025 Feature Denoising Diffusion Model for Blind Image Quality Assessment AAAI 2025 Few-Shot Image Quality Assessment via Adaptation of Vision-Language Models ICCV 2025 From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors via LLM-guided Symbolic Reasoning ICCV 2025 Learning Interleaved Image-Text Comprehension in Vision-Language Large Models ICLR 2025 Learning Transition Patterns by Large Language Models for Sequential Recommendation COLING 2025 Multimodal Quantitative Language for Generative Recommendation ICLR 2025 polybasic Speculative Decoding Through a Theoretical Perspective ICML 2025 Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis CVPR 2025 Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity ICML 2024 AffineQuant: Affine Transformation Quantization for Large Language Models ICLR 2024 Bilateral Event Mining and Complementary for Event Stream Super-Resolution CVPR 2024 Binding-Adaptive Diffusion Models for Structure-Based Drug Design AAAI 2024 Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion IJCAI 2024 GraCo: Granularity-Controllable Interactive Segmentation CVPR 2024 Integrating Global Context Contrast and Local Sensitivity for Blind Image Quality Assessment ICML 2024 Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation ICML 2024 MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework ICLR 2024 Multi-branch Collaborative Learning Network for 3D Visual Grounding ECCV 2024 Outlier-aware Slicing for Post-Training Quantization in Vision Transformer ICML 2024 Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models ICLR 2024 RepAn: Enhanced Annealing through Re-parameterization CVPR 2024 Semi-Supervised Blind Image Quality Assessment through Knowledge Distillation and Incremental Learning AAAI 2024 Solving the Catastrophic Forgetting Problem in Generalized Category Discovery CVPR 2024 Textual Grounding for Open-vocabulary Visual Information Extraction in Layout-diversified Documents ECCV 2024 A Unified Framework for Soft Threshold Pruning ICLR 2023 AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration ICCV 2023 Automatic Network Pruning via Hilbert-Schmidt Independence Criterion Lasso under Information Bottleneck Principle ICCV 2023 Data-Efficient Image Quality Assessment with Attention-Panel Decoder AAAI 2023 Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning NeurIPS 2023 Meta Architecture for Point Cloud Analysis CVPR 2023 OMPQ: Orthogonal Mixed Precision Quantization AAAI 2023 Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning CVPR 2023 Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective CVPR 2023 Neural Architecture Search With Representation Mutual Information CVPR 2022 Training-Free Transformer Architecture Search CVPR 2022 EC-DARTS: Inducing Equalized and Consistent Optimization Into DARTS ICCV 2021 Binarized Neural Architecture Search AAAI 2020 PAMS: Quantized Super-Resolution via Parameterized Max Scale ECCV 2020 Rethinking Performance Estimation in Neural Architecture Search CVPR 2020 Multinomial Distribution Learning for Effective Neural Architecture Search ICCV 2019 Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer AAAI 2019 Centralized Ranking Loss with Weakly Supervised Localization for Fine-Grained Object Retrieval IJCAI 2018